Engineering Manager, Compute and Storage

The New York Times•New York, NY

3d•$160,000 - $190,000•Hybrid

About The Position

The New York Times is seeking an Engineering Manager to lead the Compute and Storage team within its Data Platform mission. The team builds, operates, and scales shared compute engines, lakehouse storage, and connective infrastructure that power the company’s data platform. This work enables teams across the company to publish and own data products without managing the underlying infrastructure. The role reports to the Senior Engineering Manager of Data Platforms. This is a hybrid position based at the New York City headquarters, with an expectation of working from the office 2–3 or more days per week. The role is eligible for variable compensation, such as an annual bonus and restricted stock.

Requirements

At least 1 year of experience as an engineering manager.
At least 4 years in a technical leadership role working with cross-functional partners.
At least 5 years of software or data infrastructure engineering experience building scalable and distributed systems.
Experience running production cloud infrastructure on Kubernetes.
Skill in defining SLOs and SLAs, monitoring and alerting, incident management, and operational automation.
Strong technical fluency, including comfort guiding architecture discussions and reviewing code alongside engineers.

Nice To Haves

Experience with data processing engines and runtimes such as Spark, Trino, Flink, Kafka, or Airflow.
Experience leading platform migrations, system deprecations, and vendor evaluations.
Understanding of data governance or privacy tooling, such as data cataloging, lineage, or data subject requests.

Responsibilities

Lead a team of engineers and promote collaboration, innovation, and continuous improvement.
Oversee roadmap execution for compute, streaming, orchestration, and lakehouse storage platforms.
Guide architecture and technical decisions, and set standards for shared platform code and engine integrations to maintain secure, reliable, and scalable systems.
Define and track service goals for availability, provisioning speed, pipeline success, and query performance.
Establish strong practices for on-call operations, automation, SLAs, and escalation paths.
Partner with product and engineering teams that build on the platform to translate their needs into self-service capabilities.
Develop and maintain budgets, forecasts, and a cost attribution model.
Support the company’s value of journalistic independence and its mission to seek the truth and help people understand the world.